Abstract: A dynamic high gain like observer is proposed for a class of MIMO nonlinear systems that are observable for any inputs. Two main results are worth to be mentioned. The first one is related to the considered class of systems that is composed by cascade subsystems and each subsystem is associated to a subset of the outputs. Each subsystem assumes a triangular dependence on the state of ...

In This paper, we present a robust high gain output feedback control for a class of uniformly observable and controllable nonlinear systems. Our main goal here is to apply an output feedback controller which regulates the output of the plant to a constant reference. While the smooth state feedback control law is constructed based on the use of a high gain sliding mode controller, the estimation...

This paper addresses the design of reduced-order interval-observers for dynamic systems with time-invariant uncertainty. Because of the limitations of using the set-based approach to preserve the time dependency of parameter uncertainty and the wrapping effect to deal with interval-observers, the trajectory-based interval-observer approach is used with an appropriate observer gain. But, there c...

This paper deals with the problem of estimating CSD (Crystal Size Distributions) during polymorphic crystallization processes. The proposed approach is based on the high gain observer using the discretization of the PBE’s (Population Balance Equations). First, in the growth phase, the monitoring of the nuclei production permits the estimation of the CSD using an adequate observer. In the dissol...

This paper presents a method to improve estimation accuracy of Sliding-Mode Observers (SMOs) using frequency domain analysis. First, the high gain property of the SMO is employed in order to obtain fast convergence of the estimated states. Then, when the system is in the switching condition, signals are decomposed into two parts in the frequency domain: 1) the slow-mode part, which consists of ...

A convergence analysis of the modified unscented Kalman filter (UKF), used as an observer for a class nonlinear deterministic continuous time systems, is presented. Under certain conditions, extended (EKF) exponential non-linear i.e., dynamics estimation error exponentially stable. It shown that unlike EKF, UKF not converging observer. modification – proposed, which better candidate This paper ...